We are very saddened by the terrible tragedy that affects Japan and its people. On behalf of our community, we express our support for the Japanese people, especially to our colleagues and friends.
After consultations with the Steering Committee and the local organizers, it has been decided that SSS 2011 cannot take place in Shinagawa (Tokyo). INRIA Rhône-Alpes and Université Joseph Fourier accepted to host SSS 2011. SSS 2011 will be held in Grenoble one week later than the original schedule, i.e., from 10 to 12th, October 2011 with Karine Altisen (VERIMAG), Eddy Caron (ENS Lyon/INRIA), Frédéric Desprez (INRIA), Stéphane Devismes (Université Joseph Fourier), Alain Girault (INRIA), and Pascal Lafourcade (VERIMAG) as local organizers.
Note that the schedule was modified and strengthened, the submission dates have been moved back of about one month. We strongly encourage you to submit papers and invite paper submissions from your colleagues to any of the seven tracks of SSS 2011!
SSS is an international forum for researchers and
practitioners in the design and development of
distributed systems with self-* properties: (classical) self-stabilizing,
self-configuring, self-organizing, self-managing, self-repairing, self-healing, self-optimizing,
self-adaptive, and self-protecting.
Research in distributed systems is now at a crucial
point in its evolution, marked by the importance of dynamic
systems such as peer-to-peer
networks, large-scale wireless sensor networks, mobile ad hoc networks,
cloud computing, robotic networks, etc.
Moreover, new applications such as grid and web services, banking and
e-commerce, e-health and
robotics, aerospace and avionics, automotive, industrial process control, etc. have joined the
traditional applications of distributed systems.
The theory of self-stabilization has been enriched in the last 30 years by high quality research contributions in the areas of algorithmic techniques, formal methodologies, model theoretic issues, and composition techniques. All these areas are essential to the understanding and maintenance of self-* properties in fault-tolerant distributed systems.